Ontology type: schema:Chapter
2017
AUTHORSEnzo Rucci , Carlos Garcia , Guillermo Botella , Armando De Giusti , Marcelo Naiouf , Manuel Prieto-Matias
ABSTRACTWith the greater importance of parallel architectures such as GPUs or Xeon Phi accelerators, the scientific community has developed efficient solutions in the bioinformatics field. In this context, FPGAs begin to stand out as high performance devices with moderate power consumption. This paper presents and evaluates a parallel strategy of the well-known Smith-Waterman algorithm using OpenCL on Intel/Altera’s FPGA for long DNA sequences. We efficiently exploit data and pipeline parallelism on a Intel/Altera Stratix V FPGA reaching upto 114 GCUPS in less than 25 watt power requirements. More... »
PAGES500-511
Bioinformatics and Biomedical Engineering
ISBN
978-3-319-56153-0
978-3-319-56154-7
http://scigraph.springernature.com/pub.10.1007/978-3-319-56154-7_45
DOIhttp://dx.doi.org/10.1007/978-3-319-56154-7_45
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